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Dataset Title:	[Observational mussel disturbance data] - Counts of dead mussels, shell lengths of dead mussels, toxin data from LCMS, and histological results from mussel tissue from rocky intertidal sites on the Oregon coast in 2023 and 2024 (RAPID: A subtle epidemic: unique mortality of Mytilus californianus on the Oregon coast)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_994306_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"BB"	"YB"
site_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Boiler Bay"	"Yachats Beach"
latitude (Site_lat, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		44.2525	44.8444
longitude (Site_lon, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-124.12	-124.0718
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-06-07"	"2023-09-30"
Days_between_samples (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		8	47
Bed_number (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"VT1-2"
total_number_M_cal_dead (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	1671
number_dd_w_tissue (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	374
pcnt_w_tissue (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	45.95
Bed_area (square meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.4	843.0
density_dd (number per square meter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	332.8
density_dd_w_tissue (number per square meter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.181
wks_that_mus_accumulated (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.0	6.0
density_dd_per_day (number per square meter per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	18.48889

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Site site_name latitude longitude Date Days_between_samples Bed_number total_number_M_cal_dead number_dd_w_tissue pcnt_w_tissue Bed_area density_dd density_dd_w_tissue wks_that_mus_accumulated density_dd_per_day Site site_name latitude longitude Date Days_between_samples Bed_number total_number_M_cal_dead number_dd_w_tissue pcnt_w_tissue Bed_area density_dd density_dd_w_tissue wks_that_mus_accumulated density_dd_per_day Site site_name latitude longitude Date Days_between_samples Bed_number total_number_M_cal_dead number_dd_w_tissue pcnt_w_tissue Bed_area density_dd density_dd_w_tissue wks_that_mus_accumulated density_dd_per_day Site site_name latitude longitude Date Days_between_samples Bed_number total_number_M_cal_dead number_dd_w_tissue pcnt_w_tissue Bed_area density_dd density_dd_w_tissue wks_that_mus_accumulated density_dd_per_day Site site_name latitude longitude Date Days_between_samples Bed_number total_number_M_cal_dead number_dd_w_tissue pcnt_w_tissue Bed_area density_dd density_dd_w_tissue wks_that_mus_accumulated density_dd_per_day ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Site {
    String long_name "Site";
    String units "unitless";
  }
  site_name {
    String long_name "Site_name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.2525, 44.8444;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Site_lat";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.12, -124.0718;
    String axis "X";
    String ioos_category "Location";
    String long_name "Site_lon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Days_between_samples {
    Int32 actual_range 8, 47;
    String long_name "Days_between_samples";
    String units "unitless";
  }
  Bed_number {
    String long_name "Bed_number";
    String units "unitless";
  }
  total_number_M_cal_dead {
    Int32 actual_range 5, 1671;
    String long_name "Total_number_m_cal_dead";
    String units "unitless";
  }
  number_dd_w_tissue {
    Int32 actual_range 0, 374;
    String long_name "Number_dd_w_tissue";
    String units "unitless";
  }
  pcnt_w_tissue {
    Float32 actual_range 0.0, 45.95;
    String long_name "Pcnt_w_tissue";
    String units "percent";
  }
  Bed_area {
    Float32 actual_range 2.4, 843.0;
    String long_name "Bed_area";
    String units "square meters";
  }
  density_dd {
    Float32 actual_range 0.0, 332.8;
    String long_name "Density_dd";
    String units "number per square meter";
  }
  density_dd_w_tissue {
    Float32 actual_range 0.0, 2.181;
    String long_name "Density_dd_w_tissue";
    String units "number per square meter";
  }
  wks_that_mus_accumulated {
    Float32 actual_range 1.0, 6.0;
    String long_name "Wks_that_mus_accumulated";
    String units "unitless";
  }
  density_dd_per_day {
    Float32 actual_range 0.0, 18.48889;
    String long_name "Density_dd_per_day";
    String units "number per square meter per day";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.994306.1";
    Float64 Easternmost_Easting -124.0718;
    Float64 geospatial_lat_max 44.8444;
    Float64 geospatial_lat_min 44.2525;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.0718;
    Float64 geospatial_lon_min -124.12;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-10-18T11:38:26Z (local files)
2026-10-18T11:38:26Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994306_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/994306";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 44.8444;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.2525;
    String summary "This data set includes counts of dead mussels, shell lengths of dead mussels, toxin data from LCMS, and histological results from mussel tissue. Samples were collected in waters near study sites along the rocky intertidal on the Oregon coast. Study sites include: Fogarty Creek, Boiler Bay, Yachats Beach, Strawberry Hill, Tokatee Klootchman, Cape Blanco, Rocky Point, and Kibesillah Hill. Data were generated via field sampling and lab processing from 2023 to 2024. These data were collected to quantify the mortality pattern and attempt to determine the cause.";
    String title "[Observational mussel disturbance data] - Counts of dead mussels, shell lengths of dead mussels, toxin data from LCMS, and histological results from mussel tissue from rocky intertidal sites on the Oregon coast in 2023 and 2024 (RAPID: A subtle epidemic: unique mortality of Mytilus californianus on the Oregon coast)";
    Float64 Westernmost_Easting -124.12;
  }
}

 

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Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP Data Access Protocol (DAP) and its selection constraints.

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

 

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